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Based on the perspective of ecological efficiency, this paper divides the innovation process of industrial innovation ecosystem into three stages: Assimilation, growth and utilization, and constructs an evaluation index system of industrial innovation ecosystem efficiency. The Super-SBM model and Malmquist index method are used to measure the innovation ecosystem efficiency of 15 high-tech industries in China, and relevant efficiency improvement paths are proposed. The research results show that the efficiency of China’s high-tech industry innovation ecosystem is at a medium level, with an overall trend of continuous growth. The differences and polarization among industries are significant, and further coordinated development is needed. There are significant differences in the efficiency of the three stages, with the highest utilization efficiency, the second highest growth efficiency and the lowest assimilation efficiency. In the evolutionary trend, the assimilation efficiency has the fastest growth rate, utilization efficiency is the second, and growth efficiency is the slowest (negative growth). Combined with the difference of industrial efficiency in different stages, it is found that the 'double three-high' efficiency industry has not yet formed, which cannot play the leading and promoting role of 'innovation ecological effect'. The efficiency of China’s high-tech industry innovation ecosystem can be characterized by four types: high efficiency - fast growth, low efficiency - fast growth, low efficiency - slow growth, and high efficiency - slow growth. Different types of industries can improve the efficiency of innovation ecosystem through process optimization, mechanism improvement, and bilateral breakthrough. © 2024 Systems Engineering Society of China. All rights reserved.
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System Engineering Theory and Practice
ISSN: 1000-6788
CN: 11-2267/N
Year: 2024
Issue: 2
Volume: 44
Page: 546-562
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ESI Highly Cited Papers on the List: 0 Unfold All
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